{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The autoreload extension is already loaded. To reload it, use:\n",
      "  %reload_ext autoreload\n"
     ]
    }
   ],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Clear previously loaded data.\n",
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1** \n",
    "\n",
    "Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ \n",
    "\n",
    "- 均是由离群造成的\n",
    "- “白行”测试图片在L2空间上远离所有训练图片\n",
    "- “白列”训练图片在L2空间上远离所有测试图片\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 145 / 500 correct => accuracy: 0.290000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 2**\n",
    "\n",
    "We can also use other distance metrics such as L1 distance.\n",
    "For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n",
    "\n",
    "the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n",
    "And the pixel-wise mean $\\mu_{ij}$ across all images is \n",
    "$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n",
    "The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n",
    "\n",
    "Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n",
    "1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n",
    "2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n",
    "3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n",
    "4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n",
    "5. Rotating the coordinate axes of the data.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ 除了4，都不影响\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$ $dist_{kl}=\\sum_{i=1}^{n}\\sum_{j=1}^{n}p_{ij}^{(k)}-p_{ij}^{(l)}$\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('One loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('No loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "id": "no_loop",
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 42.831106 seconds\n",
      "One loop version took 92.048747 seconds\n",
      "No loop version took 0.462760 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# You should see significantly faster performance with the fully vectorized implementation!\n",
    "\n",
    "# NOTE: depending on what machine you're using, \n",
    "# you might not see a speedup when you go from two loops to one loop, \n",
    "# and might even see a slow-down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.257000\n",
      "k = 3, accuracy = 0.263000\n",
      "k = 3, accuracy = 0.273000\n",
      "k = 3, accuracy = 0.282000\n",
      "k = 3, accuracy = 0.270000\n",
      "k = 5, accuracy = 0.265000\n",
      "k = 5, accuracy = 0.275000\n",
      "k = 5, accuracy = 0.295000\n",
      "k = 5, accuracy = 0.298000\n",
      "k = 5, accuracy = 0.284000\n",
      "k = 8, accuracy = 0.272000\n",
      "k = 8, accuracy = 0.295000\n",
      "k = 8, accuracy = 0.284000\n",
      "k = 8, accuracy = 0.298000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 10, accuracy = 0.272000\n",
      "k = 10, accuracy = 0.303000\n",
      "k = 10, accuracy = 0.289000\n",
      "k = 10, accuracy = 0.292000\n",
      "k = 10, accuracy = 0.285000\n",
      "k = 12, accuracy = 0.271000\n",
      "k = 12, accuracy = 0.305000\n",
      "k = 12, accuracy = 0.285000\n",
      "k = 12, accuracy = 0.289000\n",
      "k = 12, accuracy = 0.281000\n",
      "k = 15, accuracy = 0.260000\n",
      "k = 15, accuracy = 0.302000\n",
      "k = 15, accuracy = 0.292000\n",
      "k = 15, accuracy = 0.292000\n",
      "k = 15, accuracy = 0.285000\n",
      "k = 20, accuracy = 0.268000\n",
      "k = 20, accuracy = 0.293000\n",
      "k = 20, accuracy = 0.291000\n",
      "k = 20, accuracy = 0.287000\n",
      "k = 20, accuracy = 0.286000\n",
      "k = 50, accuracy = 0.273000\n",
      "k = 50, accuracy = 0.291000\n",
      "k = 50, accuracy = 0.274000\n",
      "k = 50, accuracy = 0.267000\n",
      "k = 50, accuracy = 0.273000\n",
      "k = 100, accuracy = 0.261000\n",
      "k = 100, accuracy = 0.272000\n",
      "k = 100, accuracy = 0.267000\n",
      "k = 100, accuracy = 0.260000\n",
      "k = 100, accuracy = 0.267000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "X_train_folds = np.array_split(X_train, num_folds)\n",
    "y_train_folds = np.array_split(y_train, num_folds)\n",
    "pass\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "num_fold_test = y_train_folds[0].shape[0]\n",
    "\n",
    "for k in k_choices:\n",
    "    classifier = KNearestNeighbor()\n",
    "    k_to_accuracies[k] = []\n",
    "    for test_idx in range(num_folds):\n",
    "        # print(np.concatenate(np.delete(X_train_folds, k, 0), axis=0).shape)\n",
    "        classifier.train(np.concatenate(np.delete(X_train_folds, test_idx, 0)), \n",
    "                         np.concatenate(np.delete(y_train_folds, test_idx, 0)))\n",
    "        \n",
    "        dists = classifier.compute_distances_no_loops(X_train_folds[test_idx])\n",
    "        k_to_accuracies[k].append(np.sum(classifier.predict_labels(dists, k) == y_train_folds[test_idx]) / num_fold_test*1.0)\n",
    "pass\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "id": "cross_validation"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 147 / 500 correct => accuracy: 0.294000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 8\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
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    "**Inline Question 3**\n",
    "\n",
    "Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n",
    "1. The decision boundary of the k-NN classifier is linear.\n",
    "2. The training error of a 1-NN will always be lower than that of 5-NN.\n",
    "3. The test error of a 1-NN will always be lower than that of a 5-NN.\n",
    "4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n",
    "5. None of the above.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ 4\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "\n",
    "- 可能是1-NN可能有非凸区域（环），故1不对\n",
    "- 从CV图可看出3不对（2能看吗？）\n",
    "- 未采用kd-tree，预测算法为O(N)\n"
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